When conversations about artificial intelligence (AI) come up, one question that consistently arises is: Is Ghana truly ready for AI?
Globally, AI adoption is accelerating, transforming industries from healthcare and finance to education and agriculture. Africa is also experiencing this shift, and Ghana has seen a high wave of AI adoption in recent times across sectors. Businesses, educational institutions, and even government agencies are gradually integrating AI into their operations, whether in automating processes, enhancing service delivery, or improving decision-making. Yet, despite this momentum, the bigger question remains—does Ghana have the necessary skills, infrastructure, and strategy to fully harness the power of AI?
According to Dr. Kwami Ahiabenu, an AI expert, Ghana has made significant strides in AI development. The country has a growing AI ecosystem, with some institutions actively engaging in AI research, education, and innovation. Additionally, a national AI strategy has been developed, signaling a commitment to AI adoption at a policy level.
“We have an AI strategy and policy in place, but it wasn’t adopted formally by the previous government.” he told The High Street Journal.
This means that while Ghana has taken important steps in recognizing AI’s potential, the actual implementation of this strategy is yet to happen.
Despite these advancements, Dr. Ahiabenu disclosed that when it comes to AI skill readiness, Ghana is not fully prepared.
“No, we are not ready. A lot of places in the world are not ready.”
However, he pointed out that Ghana has a unique competitive advantage that can be leveraged to not only accelerate AI adoption but also position the country as an AI hub for Africa. This, he said, is because looking at the sectoral pillars of the economy, agriculture, education, and health present areas where Ghana has a strong foundation to build upon.
Agriculture, in particular, stands out due to Ghana’s vast arable lands and a significant portion of the population engaged in farming. AI-driven solutions such as precision farming, smart irrigation, and automated monitoring systems can transform agricultural productivity, making farming more efficient and sustainable.
By integrating AI into this sector, Ghana can enhance food security, improve yields, and create a model that other African countries can follow.
In education, Ghana’s numerous universities provide a solid base for AI training and research. With the right investments, these institutions can equip students with the necessary AI skills to drive innovation, not just within the country but across the continent. The high population of young people presents an opportunity to develop a skilled AI workforce that can lead AI adoption in various industries.
If Ghana strategically invests in AI education, it could become a key player in supplying AI talent across Africa, positioning itself as a hub for AI training and research.
“Ghana could become the AI training capital of Africa, for example, because we have a lot of universities.”
Healthcare is another area where AI can bring significant improvements. From AI-powered diagnostics to predictive analytics and robotics in surgery, the integration of AI into the health sector can enhance patient care and streamline medical services. With ongoing efforts to digitalize healthcare records and improve access to medical services, AI could further support these advancements, ensuring better health outcomes for Ghanaians.
Dr. Ahiabenu emphasized that while Ghana may not be fully ready for AI, the country does not need to build everything from scratch. Instead, by leveraging its strengths in agriculture, education, and health, Ghana can take a focused approach to AI adoption. Developing AI expertise in these key sectors would not only benefit the country’s economy but also make Ghana an attractive destination for AI training and innovation in Africa.
With a clear strategy and targeted investments, Ghana has the potential to transition from being an AI adopter to becoming a leader in AI development on the continent.
Ethical Concerns in AI Adoption
While AI presents transformative opportunities, it also raises serious ethical concerns that Ghana must consider as it moves toward greater AI adoption. Dr. Ahiabenu highlighted some key areas of concern, including bias in AI, transparency, job displacement, and legal responsibility.
One major issue is bias in AI systems. AI models learn from data, and if the data is biased, the AI system can reinforce discrimination. Dr. Ahiabenu noted that AI systems have, in some cases, shown favoritism toward certain demographics, leading to unfair outcomes. For example, in other parts of the world, AI-driven hiring systems or facial recognition technologies have been found to be biased against certain racial groups. Ghana must ensure that AI systems are trained on diverse and representative datasets to avoid similar issues.
Transparency is another key concern. Many people interact with AI daily without realizing it, whether in banking, healthcare, or government services. Dr. Ahiabenu stressed the need for awareness, emphasizing that individuals should know when AI is influencing their decisions.
“If, for example, your doctor is using AI in the diagnosis process or any treatment process, it should be apparent,” he stated.
Similarly, in finance, AI is used to assess creditworthiness and loan approvals, yet many individuals do not understand how these systems make decisions. Ensuring clarity and accountability in AI decision-making is crucial to building trust.
Another pressing issue is job displacement. As AI automates processes, there is a growing fear that many traditional jobs will become obsolete. Dr. Ahiabenu stressed the importance of balancing automation with human labor to avoid mass unemployment. Ghana must prepare its workforce by focusing on AI training and upskilling programs to ensure that workers can transition into new AI-driven roles rather than being left behind.
Legal and ethical responsibility is also a major consideration. AI-powered technologies such as autonomous vehicles pose difficult questions. If a self-driving car were to cause an accident, who would be held responsible—the car owner, the manufacturer, or the software developer?
Dr. Ahiabenu highlighted this dilemma, stating, “For example when a driverless car knocks somebody down, who is responsible? Is it the car owner? The manufacturer? Or the person who started the car?”
These are unresolved legal questions that Ghana must address before widespread AI deployment. Setting clear policies and regulations will be essential to ensuring safe and responsible AI use in Ghana.
While the country is not yet fully AI-ready, its strong educational infrastructure, agricultural potential, and healthcare opportunities provide a unique advantage. However, Ghana must address critical ethical concerns, ensuring fairness, transparency, and accountability in AI systems.
